Cikkek nyilvánosan hozzáférhető megbízással - Maarten SchoukensTovábbi információ
Nem nyilvános: 7
Study of the effective number of parameters in nonlinear identification benchmarks
A Marconato, M Schoukens, Y Rolain, J Schoukens
Decision and Control (CDC), 2013 IEEE 52nd Annual Conference on, 4308-4313, 2013
Megbízások: Research Foundation (Flanders), European Commission
Felelős szerzők: A Marconato, J Schoukens
Tuning the hyperparameters of the filter-based regularization method for impulse response estimation
A Marconato, M Schoukens
IFAC-PapersOnLine 50 (1), 12841-12846, 2017
Megbízások: Research Foundation (Flanders), European Commission
Felelős szerzők: A Marconato
Sampled-Data Based State and Parameter Estimation for State-Affine Systems with Uncertain Output Equation
T Ahmed-Ali, K Tiels, M Schoukens, F Giri
IFAC-PapersOnLine 51 (15), 491-496, 2018
Megbízások: European Commission
Felelős szerzők: T Ahmed-Ali
Filter interpretation of regularized impulse response modeling
A Marconato, M Schoukens, J Schoukens
2016 European Control Conference (ECC), 1655-1660, 2016
Megbízások: Research Foundation (Flanders), European Commission
Felelős szerzők: A Marconato, J Schoukens
Explaining complex systems: a tutorial on transparency and interpretability in machine learning models (part I)
D Materassi, S Warnick, C Rojas, M Schoukens, E Cross
IFAC-PapersOnLine 58 (15), 492-496, 2024
Megbízások: European Commission
Felelős szerzők: D Materassi
Nonlinear Data-Driven Predictive Control Using Deep Subspace Prediction Networks
M Lazar, MS Popescu, M Schoukens
2023 62nd IEEE Conference on Decision and Control (CDC), 3770-3775, 2023
Megbízások: Netherlands Organisation for Scientific Research
Felelős szerzők: M Lazar
Explaining complex systems: a tutorial on transparency and interpretability in machine learning models (part II)
D Materassi, S Warnick, C Rojas, M Schoukens, E Cross
IFAC-PapersOnLine 58 (15), 497-501, 2024
Megbízások: European Commission
Felelős szerzők: D Materassi
Valahol hozzáférhető: 62
Identification of block-oriented nonlinear systems starting from linear approximations: A survey
M Schoukens, K Tiels
Automatica 85, 272-292, 2017
Megbízások: European Commission
Parametric identification of parallel Hammerstein systems
M Schoukens, R Pintelon, Y Rolain
Instrumentation and Measurement, IEEE Transactions on 60 (12), 3931 - 3938, 2011
Megbízások: Research Foundation (Flanders)
Identification of Wiener–Hammerstein systems by a nonparametric separation of the best linear approximation
M Schoukens, R Pintelon, Y Rolain
Automatica 50 (2), 628-634, 2014
Megbízások: Research Foundation (Flanders)
Nonparametric data-driven modeling of linear systems: estimating the frequency response and impulse response function
J Schoukens, K Godfrey, M Schoukens
IEEE Control Systems Magazine 38 (4), 49-88, 2018
Megbízások: Research Foundation (Flanders), European Commission
Filter-based regularisation for impulse response modelling
A Marconato, M Schoukens, J Schoukens
IET Control Theory & Applications 11 (2), 194 – 204, 2017
Megbízások: Research Foundation (Flanders), European Commission
Parametric identification of parallel Wiener–Hammerstein systems
M Schoukens, A Marconato, R Pintelon, G Vandersteen, Y Rolain
Automatica 51, 111-122, 2015
Megbízások: Research Foundation (Flanders), European Commission
Structure discrimination in block-oriented models using linear approximations: A theoretic framework
J Schoukens, R Pintelon, Y Rolain, M Schoukens, K Tiels, L Vanbeylen, ...
Automatica 53, 225-234, 2015
Megbízások: Research Foundation (Flanders), European Commission
Improved Initialization of State-Space Artificial Neural Networks
M Schoukens
2021 European Control Conference (ECC), 1913-1918, 2021
Megbízások: European Commission
Koopman Form of Nonlinear Systems with Inputs
L Cristian Iacob, R Tóth, M Schoukens
Automatica 162, 111525, 2024
Megbízások: European Commission
Obtaining the Preinverse of a Power Amplifier Using Iterative Learning Control
M Schoukens, J Hammenecker, A Cooman
IEEE Transactions on Microwave Theory and Techniques, 2017
Megbízások: Research Foundation (Flanders), European Commission
Structure Detection of Wiener–Hammerstein Systems With Process Noise
E Zhang, M Schoukens, J Schoukens
IEEE Transactions on Instrumentation and Measurement 66 (3), 569-576, 2017
Megbízások: National Natural Science Foundation of China, European Commission
Initial estimates for Wiener–Hammerstein models using phase-coupled multisines
K Tiels, M Schoukens, J Schoukens
Automatica 60, 201-209, 2015
Megbízások: Research Foundation (Flanders), European Commission
Identification of parallel Wiener-Hammerstein systems with a decoupled static nonlinearity
M Schoukens, K Tiels, M Ishteva, J Schoukens
19th World Congress The International Federation of Automatic Control, 505-510, 2014
Megbízások: Research Foundation (Flanders), European Commission
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